Object identification based on long-term user behavior and short-term interest

US11232109B1 · kind B1 · utility

Assignee

• Pinterest, Inc. · US

Inventors

• Sonja S. Knoll · Redmond, US
• Vitaliy Kulikov · San Francisco, US
• Cole Timothy Rottweiler · Bainbridge Island, US
• Raymond Hsu · San Diego, US
• Jiacheng Hong · Xiamen, CN
• Zheng Liu · Palo Alto, US
• Siyang Xie · Redmond, US
• Andrew Liu Chen · Sunnyvale, US
• Chao Wang · Beijing, CN
• Mukund Narasimhan · Bengaluru, IN
• Lance Riedel · Cooley Landing, US

Key dates

• Filing date: Dec 1, 2017
• Grant date: Jan 25, 2022
• Expiry date: Feb 28, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/9538
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The described implementations are operable to determine potential objects of interest to a user based on a blend of the user's long-term behavior and short-term interests. Long term user behavior may be determined for the user over a period of time and represented as continuous data. Short-term interest may be determined based on objects with which the user has recently interacted and attributes of those objects may be represented together as continuous data corresponding to the short-term user interest. The continuous data of the short-term interest and long-term user behavior may be blended to produce a user embedding. The user embedding may then be compared with objects to determine objects that are of potential interest to the user.